Cover Image

Explainable Biomedical Hypothesis Generation via Retrieval Augmented Generation enabled Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pelletier, Alexander R., Ramirez, Joseph, Adam, Irsyad, Sankar, Simha, Yan, Yu, Wang, Ding, Steinecke, Dylan, Wang, Wei, Ping, Peipei
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Platform for Representation and Integration of multimodal Molecular Embeddings
by: Zheng, Erika Yilin, et al.
Published: (2025)

Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Models
by: Baradwaj, Simha Sankar, et al.
Published: (2024)

Atherosclerosis through Hierarchical Explainable Neural Network Analysis
by: Adam, Irsyad, et al.
Published: (2025)

Biomedical Hypothesis Explainability with Graph-Based Context Retrieval
by: Tyagin, Ilya, et al.
Published: (2025)

MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning
by: Zhan, Zaifu, et al.
Published: (2025)

Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation
by: Qi, Biqing, et al.
Published: (2024)

Explainable Interictal Epileptiform Discharge Detection Method Based on Scalp EEG and Retrieval-Augmented Generation
by: Zhu, Yu, et al.
Published: (2026)

TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models
by: Cheng, Pengzhou, et al.
Published: (2024)

Efficient and Reproducible Biomedical Question Answering using Retrieval Augmented Generation
by: Stuhlmann, Linus, et al.
Published: (2025)

Enhancing Large Language Models (LLMs) for Telecom using Dynamic Knowledge Graphs and Explainable Retrieval-Augmented Generation
by: Yuan, Dun, et al.
Published: (2026)

HRDE: Retrieval-Augmented Large Language Models for Chinese Health Rumor Detection and Explainability
by: Chen, Yanfang, et al.
Published: (2024)

MedRAGChecker: Claim-Level Verification for Biomedical Retrieval-Augmented Generation
by: Ji, Yuelyu, et al.
Published: (2026)

xpSHACL: Explainable SHACL Validation using Retrieval-Augmented Generation and Large Language Models
by: Publio, Gustavo Correa, et al.
Published: (2025)

Retrieval-Augmented Generation for Large Language Models: A Survey
by: Gao, Yunfan, et al.
Published: (2023)

PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models
by: Zou, Wei, et al.
Published: (2024)

Biomedical Literature Q&A System Using Retrieval-Augmented Generation (RAG)
by: Garg, Mansi, et al.
Published: (2025)

SeRTS: Self-Rewarding Tree Search for Biomedical Retrieval-Augmented Generation
by: Hu, Minda, et al.
Published: (2024)

Evaluating Retrieval-Augmented Generation for Explainable Malware Analysis
by: Ng, Jayson, et al.
Published: (2026)

RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems
by: Friel, Robert, et al.
Published: (2024)

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation
by: Bicakci, Yunus Serhat, et al.
Published: (2025)

Prompt Perturbation in Retrieval-Augmented Generation based Large Language Models
by: Hu, Zhibo, et al.
Published: (2024)

Parametric Retrieval Augmented Generation
by: Su, Weihang, et al.
Published: (2025)

ArgRAG: Explainable Retrieval Augmented Generation using Quantitative Bipolar Argumentation
by: Zhu, Yuqicheng, et al.
Published: (2025)

Benchmarking Retrieval Strategies for Biomedical Retrieval-Augmented Generation: A Controlled Empirical Study
by: Bal, Devi Prasad, et al.
Published: (2026)

Graph-Aware Late Chunking for Retrieval-Augmented Generation in Biomedical Literature
by: Mortezaagha, Pouria, et al.
Published: (2026)

Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models
by: Huang, Chengkai, et al.
Published: (2024)

Retrieval-Augmented Generation for Electrocardiogram-Language Models
by: Song, Xiaoyu, et al.
Published: (2025)

Deploying Large Language Models With Retrieval Augmented Generation
by: Prabhune, Sonal, et al.
Published: (2024)

Hypothesis Generation with Large Language Models
by: Zhou, Yangqiaoyu, et al.
Published: (2024)

BioVerge: A Comprehensive Benchmark and Study of Self-Evaluating Agents for Biomedical Hypothesis Generation
by: Yang, Fuyi, et al.
Published: (2025)

Chain-of-Retrieval Augmented Generation
by: Wang, Liang, et al.
Published: (2025)

Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models
by: Zhang, Yuzhe, et al.
Published: (2024)

SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model
by: Liang, Xun, et al.
Published: (2025)

Large Language Model Aided Birt-Hogg-Dube Syndrome Diagnosis with Multimodal Retrieval-Augmented Generation
by: Li, Haoqing, et al.
Published: (2025)

Bridge2AI: Building A Cross-disciplinary Curriculum Towards AI-Enhanced Biomedical and Clinical Care
by: Rincon, John, et al.
Published: (2025)

After Retrieval, Before Generation: Enhancing the Trustworthiness of Large Language Models in Retrieval-Augmented Generation
by: Dai, Xinbang, et al.
Published: (2025)

Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications
by: Chen, Zhe, et al.
Published: (2025)

M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions
by: Wang, Zheng, et al.
Published: (2024)

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models
by: Wei, Qikai, et al.
Published: (2025)

Generative Language Models with Retrieval Augmented Generation for Automated Short Answer Scoring
by: Wang, Zifan, et al.
Published: (2024)